In this study, 2.2 million carsharing trips from a leading operator in Madrid were analysed to identify crash factors, focusing on driver age, gender, trip timing and prior platform usage. Using a logit model, the findings indicate higher crash probabilities among drivers aged 25 years and under, drivers with fewer than six prior trips on the platform, and trips between midnight and 7 am. Younger drivers and nighttime trips also show a stronger association with at-fault crashes compared to older driver and daytime trips. The quantitative analysis was complemented by eight interviews with company management (n=4) and service users (n=4). Their insights suggested that risky behaviour, inexperience and lack of ownership may contribute to these patterns. This research highlights the need for targeted carsharing regulations and operator strategies to mitigate risks, particularly for younger drivers.

This study used data from Melbourne’s tram network to explore the severity of tram crashes and the relationship between pedestrian and cyclist involvement and tram crash severity. From 2012 to 2023, there were 639 tram crashes including 196 involving pedestrians and 40 involving cyclists. Approximately 46 percent of all tram crashes led to fatalities or serious injuries. The proportions of tram-pedestrian and tram-cyclist crashes with fatalities or serious injuries were high at about 57 percent. The results from a Bayesian mixed effect logistic regression model suggested that tram crashes involving pedestrians were 3.48 times more likely to be fatal or lead to serious injuries compared to tram-vehicle crashes. In addition, tram crashes involving cyclists were 2.22 times more likely to be more severe compared to tram-vehicle crashes. The impacts of crash-level variables such as speed limit and number of vehicles involved and area-wide variables such as population density, tram stop density and commercial land use on tram crash severity were also evident. The findings suggest a critical need to improve pedestrians’ and cyclists’ safety around tram routes.

Young drivers are among the most overrepresented drivers in terms of road traffic fatalities, especially young males. With young driver fatalities trending upwards in recent times in Australia, intervention is critical. This study considered the use of immediate feedback from an in-vehicles telematics device to improve young drivers’ behaviour. In total, 37 participants aged 18-28 years had a telematics device installed in their vehicles. Braking behaviour was monitored over two months using a validated braking score. During the first month, participants in both groups received no immediate telematics feedback on their driving behaviour, only post-trip feedback. In the second month this continued for the control group, but the intervention group also received immediate feedback during their drive. Linear Mixed Modelling (LMM) was used to determine whether the immediate feedback had a significant influence on braking scores. The interaction effect between month (first or second month) and group (control or intervention) was tested, with the braking scores of both groups deteriorating in the second month of driving. However, this deterioration was significantly larger for the control group. Driving Behaviour Questionnaire (DBQ) scores and trip distance were also significant. Better braking scores were associated with participants with better DBQ scores as well as longer trips. While the results show some promise, it is recommended that studies with larger sample sizes and a greater variety of outcome measures be used to confirm the benefits of immediate feedback from in-vehicle telematics.